[Bf-committers] numpy for 2.70

dbaker@citytech.cuny.edu damonlorenbaker at gmail.com
Mon Feb 24 21:25:35 CET 2014


Anaconda supports python 3.3,  it just defaults to 2.7 To make a 3.3
environment you have to use their package management tool, conda. (you can
skip having to download the monster sized installer of 2.7 by using
miniconda which is just a script that installs a minimal conda system and
lets you decide which pieces you want, including setting up a 3.3 only
environment) here is a list of all the packages it supports for each
version of python http://docs.continuum.io/anaconda/pkgs.html numpy 1.8.0
is in there.


On Mon, Feb 24, 2014 at 1:36 PM, CoDEmanX <codemanx at gmx.de> wrote:

> They charge for MKL, so the free version should definately not use /
> require it.
>
> Direct download links for Anaconda Windows builds:
>
> http://repo.continuum.io/archive/.winzip/
>
> I checked the content in 7zip and it seems to contain py2.7 builds only?
> Or is it compatible with py3.3?
>
>
>
> Am 24.02.2014 18:43, schrieb dbaker at citytech.cuny.edu:
> > could we use one of the builds of numpy from anaconda
> > https://store.continuum.io/cshop/anaconda/ I believe their free version
> (
> > the one you get by default if you install it using conda)  isn't built
> > against MKL.
> >
> >
> > On Mon, Feb 24, 2014 at 9:48 AM, Martijn Berger <
> martijn.berger at gmail.com>wrote:
> >
> >> I have tried compiling numpy but it seems you need either gcc/gfortran
> when
> >> building for mingw or intel's compiler when building for msvc build
> python.
> >> There is a version available online that works at:
> >> http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy.
> >> But there is also a problem. This version is build against the Intel's
> MKL
> >> (http://software.intel.com/en-us/intel-mkl) a non free but very high
> >> performance math library.
> >> For me the easiest solution would by bundling this version but we it
> seems
> >> we can not as that would constitute a GPL violation.
> >>
> >> It seems we have 3 options.
> >>    - we don't bundle numpy on windows
> >>    - we bundle this numpy and we might violate the GPL
> >>    - we get a copy of Intel's Fortran compiler so we can build and
> maintain
> >> a version of numpy for use with blender that does not violate the GPL.
> >>
> >> I am not a layer and not a numpy specialist, any conclusions drawn above
> >> are the result of my best understanding of our situation
> >>
> >>
> >> On Mon, Feb 24, 2014 at 1:16 AM, Campbell Barton <ideasman42 at gmail.com
> >>> wrote:
> >>
> >>> A while ago it was agreed that blender would bundle numpy, with very
> >>> positive response from some script authors and general agreement,
> >>>
> >>> See meeting minutes:
> >>>
> http://lists.blender.org/pipermail/bf-committers/2013-April/039809.html
> >>>
> >>> Previous discussions on the topic:
> >>>
> >>
> http://lists.blender.org/pipermail/bf-committers/2012-November/038215.html
> >>>
> http://lists.blender.org/pipermail/bf-committers/2012-April/036428.html
> >>>
> >>>
> >>> We setup scons and cmake to bundle numpy with Python, and now the 2.70
> >>> Linux build bundles numpy 1.80, but (unless I'm mistaken). OSX and
> >>> ms-windows still don't include numpy.
> >>>
> >>> If there are no blocking issues - (we can't get numpy to compile for
> >> eg...)
> >>> I think its a reasonable target to have numpy bundled on all platforms
> >>> for 2.70, not just for Linux.
> >>>
> >>> Added tracker tickets for this so this isn't overlooked.
> >>> https://developer.blender.org/T38791
> >>> https://developer.blender.org/T38792
> >>>
> >>> Maintaining platform deps is often done by volunteers, so if you don't
> >>> have time for it, say so and someone else can try to fill in the gaps.
> >>>
> >>> --
> >>> - Campbell
> >>> _______________________________________________
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> >>> Bf-committers at blender.org
> >>> http://lists.blender.org/mailman/listinfo/bf-committers
> >>>
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> >>
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